Another use forformat_datetimeis separating a datetime column into two parts, a date column and a time column. Here I created a new column usingproject,TheDate, and usedformat_datetimeto set it to "yyyy-MM-dd" format. I also created another column,TheTime, and formatted it. As you can...
let Calendar = range Day from datetime(2024-1-1) to datetime(2024-12-31) step 1d; Calendar | where Day in( datetime(2024-04-01T00:00:00Z), datetime(2024-04-02T00:00:00Z), datetime(2024-04-03T00:00:00Z), datetime(2024-04-04T00:00:00Z), datetime(2024-04-...
Date/TimeOperations that use date and time functions agoReturns the time offset relative to the time the query executes. For example,ago(1h)is one hour before the current clock's reading.ago(a_timespan) format_datetimeReturns data invarious date formats.format_datetime(datetime , format) ...
| where AccountType == 'User' and EventID in (4634) | extend Date=format_datetime(TimeGenerated, 'dd-MM-yyyy') | summarize arg_max(TimeGenerated, *) by TargetUserName, Date | extend LastLogoffOfTheDay=TimeGenerated | join kind=inner FirstLogonOfTheDay on Date, TargetUserName //| wher...
We recommend using a datetime column that you can later use to create a graph time series. Kusto 复制 .create table employees (organization: string, name:string, stateOfEmployment:string, properties:dynamic, modificationDate:datetime) .create table reportsTo (employee:string, manager:string, ...
Date/TimeOperations that use date and time functions agoReturns the time offset relative to the time the query executes. For example,ago(1h)is one hour before the current clock's reading.ago(a_timespan) format_datetimeReturns data invarious date formats.format_datetime(datetime , format) ...
Date/Time Operations that use date and time functions ago Returns the time offset relative to the time the query executes. For example, ago(1h) is one hour before the current clock's reading. ago(a_timespan) format_datetime Returns data in various date formats. format_datetime(datetime ,...
It also has a rich library of functions for array processing, datetime manipulations, machine learning, etc. Aggregation and Joins: KQL supports summarizing data through aggregation functions like summarize, count, avg, etc. You can also perform joins between tables, similar to SQL, with the join...
(i), 注册日期 = DateTime.Now, }; }).ToList(); //var q0 = new DyQuery<tb_user>().Insert(multi_user_batch).AsQuery(); //var result0 = dy.Query(q0); //Console.WriteLine("影响的行数:" + result0.RowCount); //Records返回结果集 var q1 = new DyQuery<tb_user>().Where(t1 ...
For me the easiest was to get access toAzure's Data Explorerand start playing from there as it provides multiple datasets for interactiing and even allowing charts/dataviz rendering. You can also start fromMS Tutorialson how to write KQL queries. ...